Andrea Cini

Andrea Cini is a postdoc researcher at the Graph Machine Learning Group and IDSIA USI-SUPSI, at USI. His research focuses on machine learning for time series forecasting and graph processing.

Andrea obtained his PhD from USI under the supervision of Prof. Cesare Alippi, with a thesis on graph deep learning for time series forecasting. He has been a visiting researcher at Imperial College London with Prof. Danilo Mandic and previously got his MSc and BSc in Computer Science and Engineering at Politecnico di Milano.

His research has been published in top-tier machine-learning venues, including JMLR, NeurIPS, ICML, and ICLR. Andrea's work on graph-based forecasting has introduced several widely used methods and won a best paper award. He is one of the creators of the Torch Spatiotemporal library.